Risks of abuse of large language models, like <scp>ChatGPT</scp>, in scientific publishing: Authorship, predatory publishing, and paper mills
Graham Kendall, Jaime A. Teixeira da Silva
Abstract
Key points Academia is already witnessing the abuse of authorship in papers with text generated by large language models (LLMs) such as ChatGPT. LLM‐generated text is testing the limits of publishing ethics as we traditionally know it. We alert the community to imminent risks of LLM technologies, like ChatGPT, for amplifying the predatory publishing ‘industry’. The abuse of ChatGPT for the paper mill industry cannot be over‐emphasized. Detection of LLM‐generated text is the responsibility of editors and journals/publishers.
Topics & Concepts
PublishingMillScientific publishingKey (lock)Public relationsComputer sciencePolitical scienceLawEngineeringComputer securityMechanical engineeringArtificial Intelligence in Healthcare and EducationEthics in Clinical Research